Most benchmark posts tell you what to aim for. This one measures what real businesses actually report, starting with churn.
Every SaaS founder has asked the same question at some point: "Is my churn rate normal? Is my growth fast enough? Am I spending too much on acquisition?" The problem is that most benchmark data floating around the internet is either outdated, self-reported, or pulled from enterprise companies that look nothing like your startup.
For the question behind the churn number, we ranked 39,000+ software complaints by how often each type comes attached to a customer leaving: why SaaS customers actually churn.
We built this guide using real revenue data from thousands of SaaS companies tracked through BigIdeasDB TrustMRR, combined with publicly available data from OpenView, ChartMogul, and Baremetrics. Every number in this article reflects what is actually happening in 2026, not what happened in 2021 or what some analyst predicted would happen.
Whether you are pre-revenue trying to find product-market fit, scaling past $10K MRR, or running a mature SaaS business, this is your reference for what "good" looks like across the eight metrics that matter most.
BigIdeasDB TrustMRR tracks real revenue data across thousands of SaaS companies. See how your MRR, churn, and growth rate compare to companies at your stage, with verified data, not surveys.
There are dozens of SaaS metrics you could track. Most of them are vanity metrics or derivatives of a smaller set of core numbers. After analyzing revenue data from thousands of SaaS companies, we narrowed it down to eight metrics that actually predict whether a SaaS business will survive and scale. These are the metrics that investors look at, that acquirers price businesses on (as we covered in our SaaS valuation guide), and that founders who hit $100K+ MRR track obsessively.
MRR is the foundation of every SaaS business. It measures the predictable revenue you collect every month from active subscriptions. Not one-time payments, not annual contracts divided by 12 retroactively. Actual monthly recurring charges.
Re-measured in September 2026 across the 3,700+ tracked startups reporting revenue, the median MRR is $145 and the 75th percentile is $894. The mean is $4,298, which is roughly 30x the median. That gap is the whole story: a small number of large companies drag the average far above what a typical tracked SaaS business actually earns. Any benchmark quoting a four-figure "average MRR" is quoting a mean from a heavily skewed distribution. Use the median and the percentile you sit in, not the average. A pre-PMF product might have $200 MRR from a handful of beta users; a scaling SaaS might be at $45,000 MRR. Both are "normal" for their stage. The question is not "what is a good MRR" but "am I growing MRR consistently relative to where I am."
What matters more than absolute MRR is MRR composition. Break your MRR into four components: new MRR (from new customers), expansion MRR (from upgrades), contraction MRR (from downgrades), and churned MRR (from cancellations). Healthy SaaS businesses show new + expansion consistently exceeding contraction + churn. You can model these numbers yourself with our free MRR calculator.
The most common monthly churn band reported by real SaaS businesses is 10% or higher, not 3-5%. Across 500+ SaaS and online businesses listed for sale on acquire.com as of September 2026, 35.2% self-report 10%+ monthly churn. Only 14.2% report the 0-1% band that benchmark articles describe as merely "good." Churn is the silent killer of SaaS businesses, and the measured data says it is killing far more of them than the advice implies.
The arithmetic is why this matters. A 5% monthly churn rate sounds small until you compound it: you lose 46% of your customer base every year. At 10% monthly churn you lose 72% annually. So the single largest group of businesses in this dataset is losing roughly three quarters of its customers per year and is still healthy enough to be sold as a going concern.
| Self-reported monthly churn | Share of listings | Median TTM revenue | Median profit multiple | Share trending down |
|---|---|---|---|---|
| 0-1% | 14.2% | $166K | 3.25x | 9.9% |
| 1-3% | 14.6% | $105K | 3.90x | 13.7% |
| 3-5% | 14.4% | $101.5K | 3.45x | 19.4% |
| 5-10% | 21.6% | $102.5K | 3.50x | 26.9% |
| 10%+ | 35.2% | $119K | 3.40x | 39.8% |
Three things fall out of that table. First, the distribution is skewed to the bad end: more businesses sit in the worst band than in the three best bands combined. Second, churn barely moves the asking multiple. The 10%+ band clears a 3.40x median profit multiple against 3.25x for the 0-1% band, so buyers in this size range are evidently not pricing churn the way benchmark advice assumes they do. Third, the signal that does move with churn is trajectory: 39.8% of the 10%+ band describe their business as trending downwards against just 9.9% of the 0-1% band. Churn does not show up in the price, it shows up in the direction. That relationship between churn and multiple is worth reading alongside our SaaS valuation guide, which works through what acquirers in this size band actually price on.
Read the conventional targets in that light. The advice is still directionally right about what a durable business looks like: pre-PMF companies commonly sit at 8-15% while the product is not yet dialed in, early-growth companies ($1K-$10K MRR) are told to target 5-8%, scaling companies ($10K-$100K MRR) are told 3-5%, and mature companies ($100K+ MRR) are told to hold under 3%. But these are prescriptions, not observations. On measured data, the 3-5% target is hit or beaten by roughly 43% of listed businesses, and the sub-3% target by under 30%. If you are at 7% churn you are not failing a benchmark, you are in the modal group and you have a trajectory problem to fix before it becomes a sale problem. The fastest way to work on that is to stop guessing at causes: we ranked 39,000+ software complaints by how often each type comes attached to a cancellation in why SaaS customers actually churn, and the complaint analysis platform lets you run the same cut against your own category.
It is worth distinguishing between logo churn (percentage of customers lost) and revenue churn (percentage of MRR lost). Revenue churn is what actually matters for your business. If you lose ten $29/month customers but upsell five $99/month customers to $199/month, your logo churn is bad but your revenue churn might be fine. The bands above are seller-reported and do not distinguish the two, which is another reason to treat them as a distribution rather than a precise measurement. Use our churn rate calculator to model how different churn scenarios affect your growth trajectory.
CAC measures how much you spend to acquire a single paying customer. The formula is straightforward: total sales and marketing spend divided by the number of new customers acquired in that period. The tricky part is being honest about what counts as "sales and marketing spend." If you are a solo founder spending 20 hours a week on content marketing, that time has a cost even if you are not writing a check.
In 2026, CAC varies wildly by acquisition channel. Content-led SaaS companies report CAC between $50 and $200 for SMB customers. Paid acquisition channels push CAC to $150-$500 depending on the niche. Product-led growth (PLG) companies with strong free tiers often achieve CAC under $50 because the product does the selling.
For pre-PMF companies, CAC is almost meaningless because your acquisition is not yet systematic. You are doing things that do not scale: cold outreach, personal demos, posting in communities. That is fine. CAC becomes a critical metric once you are spending real money on repeatable acquisition channels, typically around the $5K-$10K MRR stage.
LTV estimates the total revenue a customer generates over their entire relationship with your product. The simplest formula is: LTV = Average Revenue Per User (ARPU) / Monthly Churn Rate. If your ARPU is $99/month and your monthly churn is 5%, your LTV is $1,980.
The 2026 benchmark for LTV depends heavily on your pricing and churn. SMB-focused SaaS companies typically see LTV between $500 and $5,000. Mid-market products land in the $5,000-$25,000 range. Enterprise SaaS can exceed $100,000 LTV but comes with longer sales cycles and higher CAC.
The most important thing about LTV is not the absolute number, it is the trend. If your LTV is increasing over time (through lower churn, higher ARPU, or better expansion revenue), your business is getting healthier. If LTV is flat or declining, something is wrong with retention or pricing, regardless of how fast you are growing topline MRR.
The LTV:CAC ratio is the single best indicator of SaaS unit economics. It answers a simple question: for every dollar you spend acquiring a customer, how many dollars do you get back over that customer's lifetime?
The widely accepted benchmark is 3:1. For every $1 spent on acquisition, you should generate $3 in lifetime revenue. Here is how it breaks down in 2026:
Below 1:1. You are losing money on every customer. Unless you have a clear path to improving churn or ARPU, this is unsustainable.
1:1 to 2:1. Marginal. You are barely covering acquisition costs. Common in pre-PMF and early-growth stages, but needs to improve quickly.
2:1 to 3:1. Acceptable for early-growth companies. Shows that unit economics work but there is room to optimize.
3:1 to 5:1. Strong. This is where most healthy scaling SaaS companies land. You have efficient acquisition and solid retention.
Above 5:1. Either excellent efficiency or underinvestment in growth. If your ratio is 8:1, you might actually be leaving growth on the table by not spending more on acquisition.
Growth rate measures how fast your MRR is increasing month over month (or year over year). In 2026, what counts as "good" growth depends entirely on your stage. The SaaS market trends we tracked show enormous variance in growth rates across categories, but stage-based benchmarks are more useful for individual companies.
Before the stage targets, the measured baseline. Across the 3,600+ tracked startups with a 30-day growth figure as of September 2026, the median 30-day growth rate is 0.0%. Only 35.6% grew at all in the last 30 days, 40.8% shrank, and 23.6% were exactly flat. Just 26.9% hit the 15%+ month-over-month figure that early-growth advice sets as the target. As with churn, the prescriptive number describes the top quartile, not the middle. The stage benchmarks below are still the right things to aim at, but if you are flat this month you are in the largest single group, not an outlier.
Pre-PMF: Growth is erratic. Some months you double, some months you shrink. The benchmark is not a specific growth rate but rather evidence of increasing engagement and retention. If users are staying longer each month, you are making progress even if MRR is bouncing around.
Early growth ($1K-$10K MRR): Target 15-25% month-over-month growth. At 20% MoM, you go from $1K to $10K MRR in about 12 months. This pace is aggressive but achievable with strong product-market fit and a working acquisition channel.
Scaling ($10K-$100K MRR): Growth naturally decelerates. 10-20% month-over-month is strong at this stage. The absolute dollar amount added each month increases even as the percentage slows. Going from $50K to $60K MRR (20% growth) is harder than going from $5K to $6K MRR (20% growth) because the numbers are bigger.
Mature ($100K+ MRR): 5-10% month-over-month is solid, which translates to roughly 80-215% annually. At this stage, many companies shift focus from growth rate to efficiency metrics like the Rule of 40 (growth rate + profit margin should exceed 40%).
SaaS businesses are supposed to be high-margin businesses, and this is the one metric where the measured data broadly agrees with the advice. Across the 1,700+ tracked startups reporting a 30-day profit margin as of September 2026, the median margin is 85.0%. On the acquisition side, the 650+ listings with both revenue and profit figures show a median trailing-twelve-month net margin of 62.5% on a median TTM revenue of $121.5K, which is what a solo or small-team operator actually keeps after real costs. So: gross margin (revenue minus cost of goods sold, primarily hosting and infrastructure) should be 70-85% for most SaaS companies, and unlike the churn target, most of the measured population clears it. If your gross margin is below 60%, your infrastructure costs are likely too high relative to your pricing.
Net profit margin (after all expenses including salaries, marketing, and overhead) is where stage matters most. Pre-PMF and early-growth companies are typically net negative, because they are investing in growth. Scaling companies should be approaching 10-20% net margins. Mature bootstrapped SaaS companies often achieve 25-40% net margins, which is one reason the most profitable SaaS niches attract so much attention from acquirers.
AI-heavy SaaS companies face a unique margin challenge in 2026. API costs for LLM calls (OpenAI, Anthropic, etc.) can eat significantly into gross margins if not managed carefully. Companies that use AI as a core feature need to be especially disciplined about pricing relative to inference costs. The companies that solve this, through caching, smaller models for simpler tasks, or usage-based pricing, will have a significant competitive advantage.
NRR is arguably the most important metric for scaling and mature SaaS companies. It measures how much revenue you retain from your existing customer base over time, including expansion (upgrades, add-ons) and contraction (downgrades, churn). An NRR above 100% means your existing customers are generating more revenue this month than last month, even without adding a single new customer.
The 2026 benchmarks: early-stage SaaS companies typically have NRR between 85-95%, meaning they lose 5-15% of existing revenue each month to churn and downgrades. Scaling companies should target 95-105% NRR. Best-in-class companies achieve 110-130% NRR, meaning their existing customers are growing revenue faster than other customers are churning.
NRR above 100% is the holy grail because it means your business grows even if you stop acquiring new customers. This is why investors and acquirers obsess over it. A company with 120% NRR and moderate new customer acquisition will massively outperform a company with 80% NRR and aggressive acquisition over any multi-year period.
Here is the complete benchmarks reference table. Bookmark this. It is the most comprehensive SaaS metrics benchmark table for 2026, built from real data rather than surveys.
| Metric | Below Average | Average | Good | Best-in-Class |
|---|---|---|---|---|
| MRR | <$100 | $100-$500 | $500-$1K | Approaching $1K |
| Monthly Churn | >15% | 10-15% | 8-10% | <8% |
| CAC | Not tracked | Varies wildly | Varies wildly | Under $100 |
| LTV | <$200 | $200-$500 | $500-$1K | >$1K |
| LTV:CAC | <1:1 | 1:1 | 1.5:1 | >2:1 |
| MoM Growth | Negative | Flat | 5-15% | >15% |
| Gross Margin | <50% | 50-65% | 65-75% | >75% |
| NRR | <70% | 70-80% | 80-90% | >90% |
| Metric | Below Average | Average | Good | Best-in-Class |
|---|---|---|---|---|
| MRR | $1K-$2K | $2K-$5K | $5K-$8K | $8K-$10K |
| Monthly Churn | >8% | 6-8% | 5-6% | <5% |
| CAC | >$300 | $150-$300 | $75-$150 | <$75 |
| LTV | <$500 | $500-$1.5K | $1.5K-$3K | >$3K |
| LTV:CAC | <1.5:1 | 1.5:1-2:1 | 2:1-3:1 | >3:1 |
| MoM Growth | <10% | 10-15% | 15-25% | >25% |
| Gross Margin | <60% | 60-70% | 70-80% | >80% |
| NRR | <80% | 80-90% | 90-100% | >100% |
| Metric | Below Average | Average | Good | Best-in-Class |
|---|---|---|---|---|
| MRR | $10K-$20K | $20K-$50K | $50K-$80K | $80K-$100K |
| Monthly Churn | >5% | 4-5% | 3-4% | <3% |
| CAC | >$500 | $200-$500 | $100-$200 | <$100 |
| LTV | <$2K | $2K-$5K | $5K-$10K | >$10K |
| LTV:CAC | <2:1 | 2:1-3:1 | 3:1-5:1 | >5:1 |
| MoM Growth | <5% | 5-10% | 10-20% | >20% |
| Gross Margin | <65% | 65-75% | 75-85% | >85% |
| NRR | <90% | 90-100% | 100-110% | >110% |
| Metric | Below Average | Average | Good | Best-in-Class |
|---|---|---|---|---|
| MRR | $100K-$200K | $200K-$500K | $500K-$1M | >$1M |
| Monthly Churn | >3% | 2-3% | 1-2% | <1% |
| CAC | >$600 | $300-$600 | $150-$300 | <$150 |
| LTV | <$5K | $5K-$15K | $15K-$30K | >$30K |
| LTV:CAC | <3:1 | 3:1-4:1 | 4:1-6:1 | >6:1 |
| MoM Growth | <3% | 3-5% | 5-10% | >10% |
| Net Margin | <10% | 10-20% | 20-35% | >35% |
| NRR | <95% | 95-105% | 105-120% | >120% |
One caveat on the four tables above, and it is the point of this refresh. Those columns are prescriptive targets, assembled from the standard stage-based playbook. The distributions earlier in this article are measured observations. They do not agree, and where they disagree the measured data wins as a description of reality while the targets remain useful as a direction. Most real businesses sit in the "below average" and "average" columns for churn and growth. That is not a judgment on them, it is what the distribution looks like.
Every number in this article that is labelled as measured comes from a live query run on September 11, 2026. Numbers labelled as targets come from the conventional stage playbook and from public sources including OpenView Partners benchmark work. Here is what each source can and cannot tell you.
| Source | Sample | What it measures here | Limitation |
|---|---|---|---|
| acquire.com listings | 500+ with a churn band, 650+ total | Churn distribution, profit multiple, TTM revenue and net margin | Survivorship: every listing had revenue worth selling. Bands are seller-chosen and unaudited. The band string lives only in the raw payload because the typed column truncates it to a leading integer. |
| BigIdeasDB TrustMRR | 8,600+ startups, 3,700+ with revenue | Median and percentile MRR, 30-day growth, 30-day profit margin | Skews toward indie and bootstrapped products that publish revenue. Margin is reported by only a subset, so the 85% median is drawn from self-selected reporters. |
| Capterra complaint corpus | 39,000+ extracted pain points | Why customers leave, behind the churn number | Complaints are a demand signal, not a churn measurement. Category coverage is uneven, so per-category counts are not a market-size proxy. |
| Stage target columns | Not a sample | Conventional advice by MRR stage | Prescriptive, not observed. Published targets describe roughly the top quartile of the measured distributions above. |
Two limitations apply to the whole article. First, every self-reported figure is exactly that: nobody audits a seller's churn band or an indie founder's published MRR, and both have reasons to round in their own favour. Second, these are point-in-time snapshots. Counts are rounded and dated deliberately so you can tell a September 2026 reading from a later one. If you need to compare yourself against a live cut rather than this snapshot, run it through the revenue intelligence tool instead of trusting a number in a blog post, including this one.
Most benchmark data comes from surveys where founders self-report numbers. The problem with self-reported data is obvious: people round up, misremember, or report aspirational numbers instead of actual ones. BigIdeasDB's TrustMRR revenue intelligence tool takes a different approach.
TrustMRR aggregates verified revenue data from thousands of SaaS companies across every stage and category. You can filter by MRR range, growth rate, niche, and company stage to see exactly how your metrics compare to companies that look like yours, not some abstract "industry average" that blends $500 MRR solo projects with $50M ARR enterprises.
The benchmarks in this article were derived from TrustMRR data combined with public sources. If you want to go deeper, whether that is filtering by your specific niche, comparing against companies at your exact MRR level, or tracking how benchmarks shift over time, TrustMRR is the tool that makes it possible. You can also explore broader SaaS market trends for 2026 to understand which categories are growing fastest.
Numbers without context are just numbers. Here is how to interpret your metrics relative to the benchmarks above and what actions to take.
High growth + high churn: You have a leaky bucket. You are good at acquiring customers but bad at keeping them. This is the most common pattern in early-stage SaaS and usually means your product is not delivering enough value after the initial excitement wears off. Fix retention before pouring more money into acquisition.
Low churn + low growth: You have a solid product but a distribution problem. Your customers love the product (they are not leaving), but you are not reaching enough new people. This is actually a great position to be in, because distribution problems are more solvable than product problems. Invest in content, partnerships, or paid channels.
High LTV:CAC + slow growth: You are underinvesting in acquisition. Your unit economics are excellent, which means you can afford to spend more aggressively on growth. If your LTV:CAC is 6:1, you could double your CAC and still have healthy economics at 3:1 while potentially doubling your growth rate.
NRR below 90%: Your existing customers are shrinking faster than they are expanding. This is a red flag at any stage. It usually means your pricing does not scale with usage, you lack upsell paths, or your product is not becoming more valuable over time. Companies in the most profitable niches almost always have strong NRR because their products grow in value as customers grow.
Gross margin below 70%: Your cost structure needs attention. For non-AI SaaS, this usually means you are over-provisioning infrastructure or running expensive third-party services you could replace. For AI-heavy SaaS, it might mean your pricing does not adequately cover inference costs, so consider usage-based pricing tiers.
Strong metrics across the board but under $10K MRR: Keep going. Seriously. Many founders with excellent fundamentals give up too early because the absolute numbers feel small. If your churn is low, your LTV:CAC is healthy, and you are growing 15-20% month over month, you are on a path to a business worth real money. The math just needs time to compound.
BigIdeasDB TrustMRR gives you verified revenue benchmarks filtered by stage, niche, and growth rate. Stop comparing yourself to abstract averages and see how you stack up against companies that actually look like yours.
The metric missing from most benchmark sets is revenue per visitor, because traffic and revenue usually live in different systems. We joined them for 740 companies inhow much traffic a SaaS actually needs.
A good MRR growth rate depends on your stage. Pre-PMF startups should aim for any consistent month-over-month growth. Early-growth startups ($1K-$10K MRR) should target 15-25% month-over-month. Scaling startups ($10K-$100K MRR) typically see 10-20% month-over-month. Mature SaaS companies ($100K+ MRR) generally grow at 5-10% month-over-month, with annual growth rates of 80-150% considered strong.
Measured rather than prescribed, the most common self-reported monthly churn band is 10% or higher. Across 500+ SaaS and online businesses listed for acquisition on acquire.com as of September 2026, 35.2% report 10%+ monthly churn, 21.6% report 5-10%, 14.4% report 3-5%, 14.6% report 1-3%, and only 14.2% report 0-1%. The widely repeated 3-5% target describes roughly one in seven real businesses, not the average. These are businesses healthy enough to have revenue worth selling, so the true population churn is likely worse. The stage targets still apply as goals: pre-PMF startups commonly sit at 8-15%, early-growth companies ($1K-$10K MRR) aim for 5-8%, scaling companies ($10K-$100K MRR) aim for 3-5%, and mature companies ($100K+ MRR) aim to hold under 3%.
A good LTV:CAC ratio is at least 3:1, meaning the lifetime value of a customer is three times what you spend to acquire them. Early-stage startups should aim for at least 2:1 to prove unit economics work. Scaling companies ($10K-$100K MRR) should maintain 3:1 or higher. Mature SaaS businesses often achieve 4:1 to 6:1. Below 1:1 means you are losing money on every customer you acquire.
Net revenue retention measures the revenue from existing customers over a period, including expansion, contraction, and churn. The formula is: NRR = (Starting MRR + Expansion MRR - Churned MRR - Contraction MRR) / Starting MRR x 100. An NRR above 100% means your existing customers are generating more revenue over time even without new customers. Top SaaS companies target 110-130% NRR.
Pre-PMF: focus on activation rate, retention, and qualitative feedback over revenue metrics. Early growth ($1K-$10K MRR): track MRR, churn rate, and basic CAC. Scaling ($10K-$100K MRR): add LTV:CAC ratio, net revenue retention, payback period, and gross margin. Mature ($100K+ MRR): monitor all eight core metrics plus CAC payback period, Rule of 40, and cohort-level retention curves.
Written by Om Patel • Published April 4, 2026 • Updated September 11, 2026
Measured figures queried September 11, 2026 from BigIdeasDB TrustMRR revenue intelligence and 500+ acquire.com acquisition listings. Target columns draw on OpenView Partners, ChartMogul, and Baremetrics.
Related reading
BigIdeasDB Research. (2026). SaaS Metrics Benchmarks for 2026: What Good Looks Like for MRR, Churn, CAC, LTV & More. BigIdeasDB. Retrieved from https://bigideasdb.com/saas-metrics-benchmarks-2026